What is DevOps Software?

DevOps is a software development and delivery practice that emphasizes collaboration between software developers, IT operations professionals, and other stakeholders. It uses a set of tools and automation to help manage the various processes that go into developing software quickly, efficiently, and reliably. DevOps allows teams to streamline their software development activities into an automated pipeline for improved quality and faster time-to-market. Compare and read user reviews of the best DevOps software currently available using the table below. This list is updated regularly.

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    Ambassador

    Ambassador

    Ambassador Labs

    Ambassador Edge Stack is a Kubernetes-native API Gateway that delivers the scalability, security, and simplicity for some of the world's largest Kubernetes installations. Edge Stack makes securing microservices easy with a comprehensive set of security functionality, including automatic TLS, authentication, rate limiting, WAF integration, and fine-grained access control. The API Gateway contains a modern Kubernetes ingress controller that supports a broad range of protocols including gRPC and gRPC-Web, supports TLS termination, and provides traffic management controls for resource availability. Why use Ambassador Edge Stack API Gateway? - Accelerate Scalability: Manage high traffic volumes and distribute incoming requests across multiple backend services, ensuring reliable application performance. - Enhanced Security: Protect your APIs from unauthorized access and malicious attacks with robust security features. - Improve Productivity & Developer Experience
  • 2
    Engine Yard

    Engine Yard

    Engine Yard

    The full-stack Ruby on Rails DevOps experts. Engine Yard is up to 90% cheaper than hiring an internal DevOps team. A decade of experience optimizing and contributing back to open source. We are here to help you. Global support engineers to watch over your application day and night. Let us stay up so you don’t have to. The best Ruby DevOps in the world to help you troubleshoot or optimize your code base. No need to hire in-house DevOps. Global support engineers to watch over your application day and night. Let us stay up so you don’t have to.
    Starting Price: $25 per month
  • 3
    IronWorker

    IronWorker

    Iron.io

    Container based workloads, full GPU support, autoscaling, custom built solutions. Let Worker take care of your jobs so you can focus on your application. A hosted background job solution that lets you run your containers with dynamic scale, detailed analytics and world class customer support. Run short lived containers quickly, or even containers needing to work across multiple days. Whether it's a one-off job, or one that needs 1000's of workers running in parallel, we've got you covered. Containerize your background tasks with confidence. Run your containers on our shared infrastructure. Dedicated hardware for your workloads. A great option when you need consistent performance and throughput. Our autoscale technology helps you scale up and down based on your usage. You run workers on your own hardware, and we take care of the authentication, scheduling, and everything else. If you have access to your own infrastructure and/or have higher security needs, this is often a great fit.
    Starting Price: $4.99 per month
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    Fairwinds Insights

    Fairwinds Insights

    Fairwinds Ops

    Protect and optimize your mission-critical Kubernetes applications. Fairwinds Insights is a Kubernetes configuration validation platform that proactively monitors your Kubernetes and container configurations and recommends improvements. The software combines trusted open source tools, toolchain integrations, and SRE expertise based on hundreds of successful Kubernetes deployments. Balancing the velocity of engineering with the reactionary pace of security can result in messy Kubernetes configurations and unnecessary risk. Trial-and-error efforts to adjust CPU and memory settings eats into engineering time and can result in over-provisioning data center capacity or cloud compute. Traditional monitoring tools are critical, but don’t provide everything needed to proactively identify changes to maintain reliable Kubernetes workloads.
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